# jiacai2050/sicp

📖 SICP 读书笔记，习题解答

Repository: https://github.com/jiacai2050/sicp
Canonical: https://ross.abutalabs.com/products/sicp
Homepage: https://sicp.liujiacai.net/
Language: Scheme
License Family: other
Topics: sicp, scheme, lisp
Last push: 2020-01-03T13:46:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4126, "days_push": 2434, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1235, forks 180 (observed 2026-08-28T04:04:04.918771+00:00)

## What it is
A collection of reading notes and exercise solutions for the classic textbook 'Structure and Interpretation of Computer Programs' (SICP), written in Scheme. The notes are compiled into a GitBook ebook for readers working through the book themselves.

## Use cases
- find solutions to SICP exercises
- study notes for Structure and Interpretation of Computer Programs
- learn Scheme and Lisp fundamentals
- set up a MIT Scheme environment on Mac
- supplement MIT 6.001 video lectures with worked examples

## When to choose
- you are reading SICP and want reference solutions or hints for exercises
- you want a Chinese-language companion guide to SICP
- you need help setting up a Scheme environment for the book

## When to avoid
- you need a maintained Scheme implementation or toolchain
- you want complete coverage of all chapters - only the first five chapters' exercises are partially covered
- you need English-language study material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, interpreter
- domain: programming-languages, tutorials, education
- platform: cross-platform
- tags: sicp, scheme, lisp, reading-notes, exercise-solutions, gitbook, study-notes, macos, linux

## Member repositories
- jiacai2050/sicp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.918771+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:22:06.314312+00:00, confidence not recorded.
  - readme: https://github.com/jiacai2050/sicp (fetched 2026-08-28T04:04:04.918771+00:00, sha b5ea7fb3636f)
  - homepage: https://sicp.liujiacai.net/ (fetched 2026-08-29T12:21:26.285285+00:00, sha 6910ebd37887)
- Data as of 2026-08-30T08:39:29.467469+00:00.
